Research Article

Commercial Video Evaluation via Low-Level Feature Extraction and Selection

Table 3

Classification results using features selected by different methods.

Feature numberCFS-SpearmanCFSmRMRp-norm (p=0.9)
FeaturesCorrect Classification rate ()FeaturesCorrect Classification Rate ()FeaturesCorrect Classification rate ()FeaturesCorrect Classification rate ()

k=170.138970.138970.138970.1389
k=2(4-5)75(4,8)71.5278(2,5)74.3056(2,5)74.3056
k=3(1,4-5)79.1667(4-5,7)76.3889(2,4-5)75(2,4-5)75
k=4(1,3-5)75(4-5,7-8)74.3056(2,4-6)73.6111(2,4-5,7)74.3056
k=5(1,3-6)75(1,3-5,8)74.3056(2,4-6,8)74.3056(2,4-5,7-8)74.3056
k=6(1-5,8)75.6944(1,3-5,7-8)75.6944(2,4-8)71.5278(1-2,4-5,7-8)72.9167
k=7(1-5,7-8)73.6111(1-5,7-8)73.6111(1-2,4-8)75.6944(1-5,7-8)71.5278